Wavelet-Based Filtering Method for Sleep EEG Signal

Hua Qiang; Rui Yang; Guo Dong Zhang

doi:10.4028/www.scientific.net/AMM.130-134.2160

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 130-134Wavelet-Based Filtering Method for Sleep EEG...

Wavelet-Based Filtering Method for Sleep EEG Signal

Abstract:

In this paper, in accordance with several common signal interference in sleep EEG detection, it is processed by wavelet transform. It mainly includes: ①.remove white noise from EEG using wavelet threshold method; ②.remove baseline drift from EEG using wavelet decomposition and reconstruction method; ③.remove sharp pulse interference using wavelet modulus maximum algorithm; ④.remove EMG from EEG using wavelet decomposition and reconstruction as well as modulus maximum method. The results of simulation study show that: it can filter a variety of common interference in EEG detection preferably by wavelet transform.

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Periodical:

Applied Mechanics and Materials (Volumes 130-134)

Pages:

2160-2165

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.130-134.2160

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Online since:

October 2011

Authors:

Hua Qiang, Rui Yang, Guo Dong Zhang

Keywords:

Digital Filtering, Pretreatment Technique, Sleep EEG, Wavelet Transform (WT)

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References

[1] Zhou wei dong, Li ying yuan. Wavelet transform method based on EEG Spike recognition and noise reduction. Chinese Journal of Medicine and Physics, 2001, 18(4).

Google Scholar

[2] Stephane Mallat, Wen Liang Hwang. Singularity Detection and Processing with Wavelets. IEEE transactions on information theory, 1992, 38(2).

DOI: 10.1109/18.119727

Google Scholar

[3] Stephane Mallat, Sifen Zhong. Characterization of Signals from Multiscale Edges. IEEE transaction on patter analysis and machine intrlligence, 1992, 14(7).

Google Scholar

[4] Zhang lie ping, Niu qin zhou. Wavelet transform modulus maximum applied in the EEG signal extraction. Journal of Guangxi University of Technology, 2004, 15, (1).

Google Scholar

[5] Yang fu sheng. The analysis and application of wavelet transform engineering, Beijing: Science Press, (1999).

Google Scholar